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» Bayesian learning of measurement and structural models
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CONTEXT
2007
Springer
14 years 2 months ago
A Personalized Retrieval Model based on Influence Diagrams
Abstract. A key challenge in information retrieval is the use of contextual evidence within ad-hoc retrieval. Our contribution is particularly based on the belief that contextual r...
Nesrine Zemirli, Lynda Tamine, Mohand Boughanem
ICMLA
2009
13 years 8 months ago
A Syllable-Level Probabilistic Framework for Bird Species Identification
In this paper, we present new probabilistic models for identifying bird species from audio recordings. We introduce the independent syllable model and consider two ways of aggregat...
Balaji Lakshminarayanan, Raviv Raich, Xiaoli Fern
SSPR
2010
Springer
13 years 8 months ago
Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
André F. T. Martins, Manuele Bicego, Vittor...
ICML
2007
IEEE
14 years 11 months ago
An integrated approach to feature invention and model construction for drug activity prediction
We present a new machine learning approach for 3D-QSAR, the task of predicting binding affinities of molecules to target proteins based on 3D structure. Our approach predicts bind...
David Page, Jesse Davis, Soumya Ray, Vítor ...
TFS
2008
129views more  TFS 2008»
13 years 8 months ago
A Functional-Link-Based Neurofuzzy Network for Nonlinear System Control
Abstract--This study presents a functional-link-based neurofuzzy network (FLNFN) structure for nonlinear system control. The proposed FLNFN model uses a functional link neural netw...
Cheng-Hung Chen, Cheng-Jian Lin, Chin-Teng Lin